Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 3.8 27B

Cerebras

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K Context
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 405B Instruct

S-TIER

DeepInfra

Intelligence Score 92/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 65/100, Llama 3.1 405B Instruct outperforms Qwen 3.8 27B by 27 points.

Clear Winner: Significant performance advantage for Llama 3.1 405B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 3.8 27B
Llama 3.1 405B Instruct
Context Window
128K Context 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial) 60 RPM (varies by model)
Daily Limit
1M tokens/day Credit-based (no daily cap)
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
27B 405B
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving

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